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With the 2026 presidential election approaching, politicians and campaigns are entering TikTok and short-form platforms, and the risk of violating the Public Official Election Act—such as prohibition of pre-election campaigning outside the election period, spreading false information, and defaming candidates—is surging. Campaign staff and small PR agencies produce 5-10 short-form videos daily without legal experts, and a single violation can result in fines of at least 3 million KRW (approx. $2,250) and damage to the campaign's image. Currently, they either pay lawyers 100K-300K KRW (approx. $75-$225) per case or rely on their own judgment, incurring legal costs of over 1 million KRW (approx. $750) per month or accepting the risk of violations.
A SaaS that automatically extracts subtitles and audio from short-form videos and checks them against key provisions of the Public Official Election Act (pre-election campaigning, false information, defamation, restrictions on publishing opinion polls, etc.). (1) On video upload, STT + text analysis highlights potentially violating sections, (2) provides guidance on fines and criminal penalties by violation type, (3) automatically generates suggested revised wording. The differentiator is over 90% cost reduction compared to existing legal consultation and immediate feedback.
| N Novelty | 1-5 | How uncommon the service is in market context. |
| U Urgency | 1-5 | How urgently users need this problem solved now. |
| M Market | 1-5 | Market size and growth potential from proxy indicators. |
| R Realizability | 1-5 | Buildability for a small team with realistic constraints. |
| V Validation | 1-5 | Validation signal quality from competition and demand data. |
| Tech Complexity | / 40 | Difficulty of core implementation stack. |
| Data Availability | / 25 | Practical availability and cost of required data. |
| MVP Timeline | / 20 | Expected time to ship a usable MVP. |
| API Bonus | / 15 | Bonus for viable public API leverage. |
| Competition | / 20 | Signal quality from competitor landscape. |
| Market Demand | / 20 | Demand proxies from search and mention patterns. |
| Timing | / 20 | Fit with current shifts in tech, behavior, and regulation. |
| Revenue Signals | / 15 | Reference evidence for monetization viability. |
| Pick-Axe Fit | / 15 | How well the concept serves participants in a trend. |
| Solo Buildability | / 10 | Practicality for lean-team implementation. |